This dataset contains all monitoring locations that have been processed through the Watershed Information Network (WIN) applications in the State of Florida. WIN is the DEP repository for reporting and managing environmental quality data from non-regulatory databases or data sources from a range of data providers across the State of Florida. WIN replaces Florida STORET as an active data repository. WIN data, together with Florida STORET data, are used for a range of purposes, including but not limited to Impaired Waters Rule assessments, development of Total Maximum Daily Loads, Basin Management Action Plans, Strategic Monitoring Plans, and criteria development, including Site Specific Alternative Criteria (SSAC). Data providers to WIN and users of those data include federal, DEP and other state agencies, local agencies, academic institutions, volunteer organizations, private laboratories, and others. Monitoring locations must pass all WIN Minimum Data Quality Standards (MDQS), be individually visually verified by the organization that loaded the locations, and be associated to a NHD Reach Code, when required. Reach codes are required for all types of monitoring locations except for Oceans, Wetlands, Spring Boils, Spring Vents, and Ground Water types. This is an update to the FGDL layer WIN_MONITOR_LOC_APR17.
This layer contains all monitoring locations that have been processed through the Watershed Information Network (WIN) application, which includes confirmation that data have passed all WIN Minimum Data Quality Standards (MDQS), were visually verified within the WIN application, and are associated to a NHD Reach Code, when required.
publication date
Not for legal use. Although all WIN monitoring locations must be visually verified by the organization that loaded the location, there is not a requirement for the monitoring location to be reviewed or approved by DEP prior to publication. FDEP: This data is intended to be used for general informational and planning purposes, and is not appropriate for legal and/or cadastral purposes. FDEP: The data set is NOT a survey document and should not be utilized as such. FDEP GIS data is provided as a public service. FDEP makes every effort to provide accurate and complete data. Metadata is provided for all datasets and no data should be used without first reading and understanding the limitations of the data. The Florida Department of Environmental Protection (FDEP) provides NO WARRANTY as to the accuracy of this data or any corresponding attributes or metadata. Data is provided in an as is condition, without warranty of any kind, either expressed or implied, including any assurance that the data is fit for a particular purpose. FDEP shall have no liability, in any case, to the use of provided data (including redistribution and reproduction). Full liability, responsibility and consequence relating to the use of provided data rest with the user.
2600 Blair Stone Rd
Florida Department of Environmental Protection
GeoPlan relied on the integrity of the attribute information within the original data.
This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology
This data is provided 'as is' by GeoPlan and is complete to our knowledge.
This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan
This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan
Spatial and Attribute Information
GIS layer created per a SQL script provided by the WIN project developers. Layer created with SDO_GEOMETRY Oracle Spatial data type and registered with SDE. Metadata provided by DEAR and WIN Administrators.
2600 Blair Stone Rd MS 6520
GIS layer created per a SQL script provided by the WIN project developers. Layer created with SDO_GEOMETRY Oracle Spatial data type and registered with SDE. Metadata provided by DEAR and WIN Administrators.
The GeoPlan Center downloaded the Watershed Information Network (WIN) Monitoring Locations dataset on June 7th, 2019 from the FDEP Data Portal: Florida Department of Environmental Protection Geospatial Open Data: https://geodata.dep.state.fl.us/ https://geodata.dep.state.fl.us/datasets/watershed-information-network-win-monitoring-locations Please Note: Data is also available via the FTP website: http://publicfiles.dep.state.fl.us/otis/gis/data/WIN_MONITOR_LOCATIONS_SP.zip WIN_MONITOR_LOCATIONS_SP.zip WIN_MONITOR_LOCATIONS_SP.gdb The GDB layer was exported to shapefile. The dataset's projection was redefined to FGDL Albers. During the QA/QC process the following tasks were undertaken: - Redefined the dataset's projection from FDEP Albers to FGDL Albers. - Deleted the OBJECTID field. - Uppercased all records in the table. - Added MGRS fields - A DESCRIPT field was added based on LOC_NAME and M_LOC_ID. [LOC_NAME] & " [MLOC_ID: " & [M_LOC_ID] & "]" - A FGDLAQDATE field was added based on date downloaded from source. - Renamed file from WIN_MONITOR_LOCATIONS_SP to WIN_MONITOR_LOC_JUN19.
Dataset copied.
Internal feature number.
ESRI
Feature geometry.
Esri
MONITORING_LOCATION_KEY: System generated unique identifier for Monitoring Location.
FDEP
WIN_ORGANIZTION_KEY: System generated unique identifier for WIN Organization.
FDEP
ORGANIZATION_ID: The unique identifier of the State, Federal, local, academic, commercial, volunteer, or other agency responsible for and in ownership of retrieved data. This identifier is assigned by Florida Department of Environmental Protection in cooperation with US Environmental Protection Agency.
FDEP
ORGANIZATION_NAME: The formal full-length name of the Organization that owns the data.
FDEP
MONITORING_LOC_ID: The alpha-numeric code assigned by the owning Organization which uniquely identifies the Monitoring Location within the Organization.
FDEP
LOCATION_NAME: The name by which an Organization refers to a Monitoring Location (site at which sampling or other activities are conducted).
FDEP
A code designator used to identify the Florida county in which the monitoring location resides.
FDEP
PRIMARY_TYPE: The code that represents the primary type designation of a Monitoring Location.
FDEP
SECONDARY_TYPE: The code that represents the secondary type designation of a Monitoring Location.
FDEP
The name that describes the DEP reference datum used in determining the DEP latitude and longitude coordinates.
FDEP
DEP_COORD_METHOD: The code that identifies the DEP Collection Method used to determine the DEP latitude and longitude coordinates.
FDEP
GIS_NHD_REACH_CODE_ID: In the NHD, each reach (continuous piece of surface water with similar hydrologic characteristics) is assigned a reach code. A reach code is a 14 digit code comprised of two parts. The first eight digits are the HUC for the sub basin in which the reach exists, and the last six digits are a sequential number that is assigned when reach codes are allocated in the sub basin. Each reach code occurs only once throughout the nation, but a reach code may be on a number of contiguous features, if they all belong to the same reach. Once assigned, a reach code is permanently associated with its reach. If the reach is deleted, its reach code is retired.
FDEP
WATERBODY_NAME: The Florida DEP recognized name of a waterbody on which the monitoring location resides (e.g., BISCAYNE AQUIFER, TURTLE SPRING).
FDEP
VISUAL_VERIFICATION_DATE: The date and time indicating when the "Visual Verification" process was performed. This information will be generated by WIN during the process.
FDEP
VISUAL_VERIFIER_NAME: The name of the person which is performing the "Visual Verification" process at the time of the data load. This information will be generated by WIN during the process.
FDEP
Latitude in decimal degrees.
GeoPlan
Longitude in decimal degrees.
GeoPlan
Military Grid Reference System (MGRS) Coordinate of the Facility. The MGRS is the geocoordinate standard used by NATO militaries for locating points on the earth. The MGRS provides a means to represent any location on the surface of the Earth using an alphanumeric string. Hierarchical references are based on the Universal Transverse Mercator (UTM) coordinate system. The MGRS is used for the entire earth. http://mgrs-data.org/
GeoPlan
Webpage hyperlink to location in Google Maps.
GeoPlan
Based on LOC_NAME and M_LOC_ID
GeoPlan
The date FGDL acquired the data from the source.
GeoPlan
Unique ID added by GeoPlan
GeoPlan
431 Architecture PO Box 115706
The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html
2600 Blair Stone Rd MS 6520